Data Scientist - Life Sciences Customer Advisory

Job Locations US
Requisition ID
Visa Sponsorship
Travel Requirements

Advises Life Sciences clients and sales teams to drive revenue, increase profit margin, and ensure the highest levels of client satisfaction. Develops and enhances personal and team member skills primarily for the benefit of the pre-sales process. Possesses knowledge or experiences in some combination of the following: predictive analytics, machine learning, knowledge discovery in databases, optimization, statistical theory, experimentation and/or time series analysis.  Able to manipulate voluminous data with different degree of structuring across disparate sources to generate and communicate actionable insights for internal or external parties. Possesses a strong knowledge of cloud, data science, and technology from SAS or open-source platforms.


Location: USA  Remote worker.




Collaborates across the organization to prepare and manipulate structured and unstructured data for data discovery and mining from multiple disparate resources.


Builds high-end analytic models, utilizing supervised and unsupervised learning models, to support decision makers with data driven insights that address immediate business problems and objectives.


Creates informative visualizations that intuitively display large amounts of data and/or complex relationships; translates data analytics into coherent reports and presentations for internal and external customer with varying degrees of technical knowledge.


Prototypes solutions using varied resources, including SAS and open source software.


Builds trusted relationships with Account Executives and clients to provide practical and theoretical guidance in the business value of proposed solutions and set proper expectations to ensure customer satisfaction


Conducts discovery meetings to collect, analyze, clarify, and document business requirements during the sales cycle to support the implementation team and produce a detailed solution proposal


Delivers standard, customized and/or strategic solution demonstrations, whiteboarding, and presentations outlining the functional capabilities, competitive advantages, and business benefits of the SAS solutions as they apply to client needs


Leads subject matter expertise in the response to RFI/RFPs including defining solutions, technical writing, demonstrations, and client presentations


Participates in product and solution training to acquire and maintain a detailed level of product knowledge of core components of SAS offerings and assigned solution areas, how each solution addresses business challenges, competitive information to identify how SAS solutions stand apart, and what challenges/limitations may be encountered


Understands, utilizes, and communicates best practice methodologies internally and externally


Works proactively with Industry Consultants, Technical Architects, R&D, Tech Support, and other Solutions Architects to strategize on opportunities, cross-training, and knowledge transfer





  • 5+ years of experience manipulating data sets and building analytical models
  • Expert level knowledge of at least one statistical language (R, Python, SAS, etc)
  • Knowledge of advanced statistical techniques and concepts: regression, properties of distributions, statistical tests and proper usage, etc
  • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
  • Bachelor’s degree in Mathematics, Computer Science, or related field
  • Strong knowledge of applied statistics, probability, data modeling techniques, predictive modeling techniques and in-sample and out-of-sample model assessment.
  • Travel as needed up to 25%




    • Master’s degree in Mathematics, Computer Science, Analytics, or related field
    • Business domain expertise in healthcare or life sciences


Additional information:


SAS is an equal opportunity employer. All qualified applicants are considered for employment without regard to race, color, religion, gender, sexual orientation, gender identity, age, national origin, disability status, protected veteran status or any other characteristic protected by law. Read more:Equal Employment Opportunity is the Law. Also view the supplementEEO is the Law, and the Pay Transparency notice. 


Equivalent combination of education, training and experience may be considered in place of the above qualifications. The level of this position will be determined based on the applicant's education, skills and experience. Resumes may be considered in the order they are received. SAS employees performing certain job functions may require access to technology or software subject to export or import regulations. To comply with these regulations, SAS may obtain nationality or citizenship information from applicants for employment. SAS collects this information solely for trade law compliance purposes and does not use it to discriminate unf Save airly in the hiring process. 


In order to work at SAS, you must be fully vaccinated against COVID-19. If there is a medical or religious reason preventing you from receiving an available COVID-19 vaccination, and you are selected as a candidate for consideration, we have an accommodations process in place to evaluate those requests.



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